Test Automation is supposed to be what we all strive to work towards, right? Well, I think the key line in this tweet was “expert in testing”. Coding is not testing. It never has been and never will be.
My Functional Programming journey was filled with dead ends, false starts, failed attempts and frustration. And I suspect that I’m not alone in this struggle. So why is this a common problem…
Sometimes popularity is an indication of quality. Other times, popular things are popular for popularity’s sake, and not because they’re better than alternatives. On real production projects, I have…
Continuing on from my previous article Want to learn JavaScript in 2015 / 2016. I’m going to walk you through what else I’ve been up to in the world of Javascript. Initially I’d planned to talk about…
Have you noticed my overly diplomatic title? It’s an attempt to frame this conversation in terms of what I prefer rather than what I believe to be objectively better in hope of diverting a flame war…
This is not your regular React vs Vue.js vs Angular comparison. We have enough of those from people much more involved in the subject. Let’s just say everyone has its own preference. I prefer React…
The modern project of creating human-like artificial intelligence (AI) started after World War II, when it was discovered that electronic computers are not just number-crunching machines, but can also manipulate symbols. It is possible to pursue this goal without assuming that machine intelligence is identical to human intelligence. This is known as weak AI. However, many AI researcher have pursued the aim of developing artificial intelligence that is in principle identical to human intelligence, called strong AI. Weak AI is less ambitious than strong AI, and therefore less controversial. However, there are important controversies related to weak AI as well. This paper focuses on the distinction between artificial general intelligence (AGI) and artificial narrow intelligence (ANI). Although AGI may be classified as weak AI, it is close to strong AI because one chief characteristics of human intelligence is its generality. Although AGI is less ambitious than strong AI, there were critics almost from the very beginning. One of the leading critics was the philosopher Hubert Dreyfus, who argued that computers, who have no body, no childhood and no cultural practice, could not acquire intelligence at all. One of Dreyfus’ main arguments was that human knowledge is partly tacit, and therefore cannot be articulated and incorporated in a computer program. However, today one might argue that new approaches to artificial intelligence research have made his arguments obsolete. Deep learning and Big Data are among the latest approaches, and advocates argue that they will be able to realize AGI. A closer look reveals that although development of artificial intelligence for specific purposes (ANI) has been impressive, we have not come much closer to developing artificial general intelligence (AGI). The article further argues that this is in principle impossible, and it revives Hubert Dreyfus’ argument that computers are not in the world.
For many years MySQL and PostgreSQL were competing databases, which addressed slightly different audiences. Here's why you always should go for PostgreSQL!
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